[BUGFIX] examples/lvqmln_iris.py works again

examples/lvqmln_iris.py

@@ -2,11 +2,10 @@
 
 import argparse
 
+import prototorch as pt
 import pytorch_lightning as pl
 import torch
 
-import prototorch as pt
-
 
 class Backbone(torch.nn.Module):
     def __init__(self, input_size=4, hidden_size=10, latent_size=2):
@@ -41,7 +40,7 @@ if __name__ == "__main__":
 
     # Hyperparameters
     hparams = dict(
-        distribution=[1, 2, 2],
+        distribution=[3, 4, 5],
         proto_lr=0.001,
         bb_lr=0.001,
     )
@@ -52,7 +51,10 @@ if __name__ == "__main__":
     # Initialize the model
     model = pt.models.LVQMLN(
         hparams,
-        prototype_initializer=pt.components.SSI(train_ds, transform=backbone),
+        prototypes_initializer=pt.initializers.SSCI(
+            train_ds,
+            transform=backbone,
+        ),
         backbone=backbone,
     )
 
@@ -67,11 +69,21 @@ if __name__ == "__main__":
         resolution=500,
         axis_off=True,
     )
+    pruning = pt.models.PruneLoserPrototypes(
+        threshold=0.01,
+        idle_epochs=20,
+        prune_quota_per_epoch=2,
+        frequency=10,
+        verbose=True,
+    )
 
     # Setup trainer
     trainer = pl.Trainer.from_argparse_args(
         args,
-        callbacks=[vis],
+        callbacks=[
+            vis,
+            pruning,
+        ],
     )
 
     # Training loop